Global Artificial Intelligence in Diabetes Management Market Expected to Grow at 50.7% CAGR During 2017-2023

Raipur , India, April 19, 2018 --

Report Sellers has added a new market research report “Global Artificial Intelligence in Diabetes Management Market: Drivers, Restraints, Opportunities, Trends, and Forecasts to 2023” to its offerings. The report is an in-depth market study providing accurate market insights including the latest trends, forecast, competitive insights, etc.

Market Overview
Digitization has made big data technologies more relevant in the healthcare context. The proliferation of smart devices has accelerated the transition to digitized healthcare. Smart apps have made self-management of diabetes by the patients affordable. Sensors are capable of transmitting data to the smart devices and diabetics can monitor their blood glucose levels on these devices. Pharmacogenetics and machine learning will help systems embedded with AI to manage diabetes better than humans within the next 20 years. AI algorithms bring about state-of-the-art glucose prediction methods that help in tackling diabetes effectively. They can mimic human cognitive functions. AI is leveraging the avalanche of healthcare data. AI is improving patient outcomes for diabetes patients. Data analytics is expected to make a disruptive impact in diabetes management.

Browse through the complete description and in-depth TOC on “Global Artificial Intelligence in Diabetes Management Market”

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Market Analysis
The Global Artificial Intelligence in Diabetes Management market is expected to grow at a CAGR of 50.7% during the forecast period 2017-2023. The market is driven by factors such as rising elderly population, increasing obesity, favorable demographics, urbanization, rising healthcare costs, and increasing digital affinity. Patient’s privacy and security concerns, lack of curated datasets, and less digital savvy patients are few growth deterrents in the market. The market experiences few growth opportunities such as product innovations, democratization of knowledge, and rising prevalence of type 1 and type 2 diabetes.

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